Eric L. Manibardo | DeepAI

DeepAI AI Chat

Featured Co-authors

Javier Del Ser
61 publications
Eneko Osaba
24 publications
Jesus L. Lobo
13 publications
Ibai Lana
11 publications
Izaskun Oregi
7 publications
Miren Nekane Bilbao
2 publications
Eleni I. Vlahogianni
2 publications
Esther Villar
1 publication

∙ 01/11/2022

On the Design of Graph Embeddings for the Sensorless Estimation of Road Traffic Profiles

Traffic forecasting models rely on data that needs to be sensed, process...

4 Eric L. Manibardo, et al. ∙

∙ 12/02/2020

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?

Deep Learning methods have been proven to be flexible to model complex p...

0 Eric L. Manibardo, et al. ∙

∙ 05/08/2020

Transfer Learning and Online Learning for Traffic Forecasting under Different Data Availability Conditions: Alternatives and Pitfalls

This work aims at unveiling the potential of Transfer Learning (TL) for ...

0 Eric L. Manibardo, et al. ∙

∙ 04/17/2020

Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment

In short-term traffic forecasting, the goal is to accurately predict fut...

0 Javier Del Ser, et al. ∙

∙ 03/27/2020

New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data

This work focuses on classification over time series data. When a time s...

0 Eric L. Manibardo, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world